After successful completion of the course, students are able to explain recent topics and current approaches in forward and inverse uncertainty quantification for various applications in science and engineering. They also learn how to prepare and give a presentation and to write a seminar paper.
• Stochastic PDEs: theory• Stochastic PDEs: current numerical approaches• Bayesian inversion: numerical methods• Machine learning methods in uncertainty quantification• Bayesian inference in medical applications (e.g. COVID-19)• etc.
Presentation
First meeting: Tuesday 2.3 at 10:00 via GoToMeeting
https://global.gotomeeting.com/join/384345253
Seminar presentation, seminar paper, regular participation
Not necessary
